Improving quantification of methane point source emissions from imaging spectroscopy
The matched filter (MF) method is widely used for hyperspectral imaging spectrometers to
detect and quantify methane point sources due to its high computational efficiency …
detect and quantify methane point sources due to its high computational efficiency …
Automated detection and monitoring of methane super-emitters using satellite data
BJ Schuit, JD Maasakkers, P Bijl… - Atmospheric …, 2023 - acp.copernicus.org
A reduction in anthropogenic methane emissions is vital to limit near-term global warming. A
small number of so-called super-emitters is responsible for a disproportionally large fraction …
small number of so-called super-emitters is responsible for a disproportionally large fraction …
Semantic segmentation of methane plumes with hyperspectral machine learning models
Methane is the second most important greenhouse gas contributor to climate change; at the
same time its reduction has been denoted as one of the fastest pathways to preventing …
same time its reduction has been denoted as one of the fastest pathways to preventing …
STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning Models
Methane is the second most important greenhouse gas contributor to climate change; at the
same time its reduction has been denoted as one of the fastest pathways to preventing …
same time its reduction has been denoted as one of the fastest pathways to preventing …
Separating and Quantifying Facility-Level Methane Emissions with Overlap** Plumes for Spaceborne Methane Monitoring
Y Pang, L Tian, D Hu, S Gao, G Liu - EGUsphere, 2023 - egusphere.copernicus.org
Quantifying facility-level methane emission rates using satellites with fine spatial resolution
has recently gained significant attention. However, the existing quantification algorithms …
has recently gained significant attention. However, the existing quantification algorithms …